{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,11]],"date-time":"2024-07-11T01:10:11Z","timestamp":1720660211681},"reference-count":43,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,9,1]],"date-time":"2021-09-01T00:00:00Z","timestamp":1630454400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Biomedical Signal Processing and Control"],"published-print":{"date-parts":[[2021,9]]},"DOI":"10.1016\/j.bspc.2021.103067","type":"journal-article","created":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T20:21:06Z","timestamp":1629750066000},"page":"103067","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":1,"special_numbering":"C","title":["Relaxation factor optimization based on cuckoo search algorithm for limited \u2013 Angle CT"],"prefix":"10.1016","volume":"70","author":[{"given":"Amina","family":"Gomeri","sequence":"first","affiliation":[]},{"given":"Makhlouf","family":"Laouchedi","sequence":"additional","affiliation":[]},{"given":"Fatima","family":"Oulebsir-Boumghar","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"10","key":"10.1016\/j.bspc.2021.103067_b0005","first-page":"46","article-title":"Introduction to inverse problems in imaging","volume":"12","author":"Bertero","year":"2001","journal-title":"Optics Photonics News"},{"issue":"5","key":"10.1016\/j.bspc.2021.103067_b0010","doi-asserted-by":"crossref","first-page":"1435","DOI":"10.1088\/0266-5611\/18\/5\/315","article-title":"The inverse problem of emission tomography","volume":"18","author":"Gourion","year":"2002","journal-title":"Inverse Prob."},{"key":"10.1016\/j.bspc.2021.103067_b0015","doi-asserted-by":"crossref","unstructured":"A.C. Kak, M. Slaney, G. Wang, Principles of computerized tomographic imaging (2002).","DOI":"10.1137\/1.9780898719277"},{"key":"10.1016\/j.bspc.2021.103067_b0020","series-title":"The mathematics of computerized tomography","author":"Natterer","year":"2001"},{"key":"10.1016\/j.bspc.2021.103067_b0025","series-title":"Fundamentals of computerized tomography: image reconstruction from projections","author":"Herman","year":"2009"},{"key":"10.1016\/j.bspc.2021.103067_b0030","series-title":"X-ray computed tomography in biomedical engineering","author":"Cierniak","year":"2011"},{"issue":"12","key":"10.1016\/j.bspc.2021.103067_b0035","doi-asserted-by":"crossref","DOI":"10.1088\/0266-5611\/25\/12\/123009","article-title":"Why do commercial ct scanners still employ traditional, filtered back-projection for image reconstruction?","volume":"25","author":"Pan","year":"2009","journal-title":"Inverse Prob."},{"key":"10.1016\/j.bspc.2021.103067_b0040","first-page":"1127","article-title":"Theoretical framework for filtered back projection in tomosynthesis","volume":"Vol. 3338","author":"Lauritsch","year":"1998"},{"key":"10.1016\/j.bspc.2021.103067_b0045","article-title":"Image reconstruction: applications in medical sciences","author":"Zeng","year":"2017","journal-title":"Walter de Gruyter GmbH & Co KG"},{"key":"10.1016\/j.bspc.2021.103067_b0050","unstructured":"T.M. Buzug, Computed tomography from photon statistics to modern cone-beam ct (2009)."},{"key":"10.1016\/j.bspc.2021.103067_b0055","doi-asserted-by":"crossref","first-page":"7","DOI":"10.4172\/2167-7964.1000147","article-title":"Image quality and radiation dose comparison between filtered back projection and adaptive statistical iterative reconstruction in non-contrast head ct studies","volume":"2","author":"Alper","year":"2013","journal-title":"OMICS J. Radiol."},{"issue":"2","key":"10.1016\/j.bspc.2021.103067_b0060","doi-asserted-by":"crossref","first-page":"229","DOI":"10.2217\/iim.12.13","article-title":"Ct artifacts: causes and reduction techniques","volume":"4","author":"Boas","year":"2012","journal-title":"Imaging Med."},{"key":"10.1016\/j.bspc.2021.103067_b0065","volume":"Vol. 114","author":"Hsieh","year":"2003"},{"issue":"3","key":"10.1016\/j.bspc.2021.103067_b0070","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1097\/RCT.0b013e31824e639e","article-title":"Comparison of hybrid and pure iterative reconstruction techniques with conventional filtered back projection: dose reduction potential in the abdomen","volume":"36","author":"Singh","year":"2012","journal-title":"J. Computer Assisted Tomography"},{"issue":"10","key":"10.1016\/j.bspc.2021.103067_b0075","first-page":"1343","article-title":"Analytic and iterative reconstruction algorithms in spect","volume":"43","author":"Bruyant","year":"2002","journal-title":"J. Nucl. Med."},{"issue":"2","key":"10.1016\/j.bspc.2021.103067_b0080","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1148\/radiol.2015132766","article-title":"State of the art: iterative ct reconstruction techniques","volume":"276","author":"Geyer","year":"2015","journal-title":"Radiology"},{"issue":"6","key":"10.1016\/j.bspc.2021.103067_b0085","doi-asserted-by":"crossref","first-page":"1623","DOI":"10.1007\/s00330-012-2765-y","article-title":"Iterative reconstruction techniques for computed tomography part 1: technical principles","volume":"23","author":"Willemink","year":"2013","journal-title":"Eur. Radiol."},{"key":"10.1016\/j.bspc.2021.103067_b0090","series-title":"Practical SPECT\/CT in nuclear medicine","author":"Jones","year":"2013"},{"issue":"3","key":"10.1016\/j.bspc.2021.103067_b0095","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1118\/1.1543934","article-title":"Tomographic mammography using a limited number of low-dose cone-beam projection images","volume":"30","author":"Wu","year":"2003","journal-title":"Med. Phys."},{"issue":"9","key":"10.1016\/j.bspc.2021.103067_b0100","doi-asserted-by":"crossref","first-page":"1855","DOI":"10.1007\/s003300100898","article-title":"Wa kalender: Computed tomography: fundamentals, system technology, image quality, applications (with cd-rom)","volume":"11","author":"Vock","year":"2001","journal-title":"Eur. Radiol."},{"key":"10.1016\/j.bspc.2021.103067_b0105","article-title":"The Radon transform and some of its applications","author":"Deans","year":"2007","journal-title":"Courier Corporation"},{"key":"10.1016\/j.bspc.2021.103067_b0110","series-title":"2016 IEEE International Conference on Image Processing (ICIP)","first-page":"1759","article-title":"Tomographic reconstruction from projections with unknown view angles exploiting moment-based relationships","author":"Malhotra","year":"2016"},{"issue":"1","key":"10.1016\/j.bspc.2021.103067_b0115","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1177\/016173468400600107","article-title":"Simultaneous algebraic reconstruction technique (sart): a superior implementation of the art algorithm","volume":"6","author":"Andersen","year":"1984","journal-title":"Ultrasonic Imaging"},{"issue":"1","key":"10.1016\/j.bspc.2021.103067_b0120","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1109\/42.20361","article-title":"Algebraic reconstruction in ct from limited views","volume":"8","author":"Andersen","year":"1989","journal-title":"IEEE Trans. Medical Imaging"},{"issue":"4","key":"10.1016\/j.bspc.2021.103067_b0125","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1109\/42.14519","article-title":"Strip and line path integrals with a square pixel matrix: A unified theory for computational ct projections","volume":"7","author":"Lo","year":"1988","journal-title":"IEEE Trans. Medical Imaging"},{"key":"10.1016\/j.bspc.2021.103067_b0130","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/B978-0-12-405163-8.00001-6","article-title":"Swarm intelligence and bio-inspired computation: an overview","author":"Yang","year":"2013","journal-title":"Swarm Intell. Bio-inspired Comput."},{"key":"10.1016\/j.bspc.2021.103067_b0135","series-title":"2019 World congress on nature & biologically inspired computing (NaBIC)","first-page":"210","article-title":"Cuckoo search via l\u00e9vy flights","author":"Yang","year":"2009"},{"key":"10.1016\/j.bspc.2021.103067_b0140","series-title":"Nature-inspired metaheuristic algorithms","author":"Yang","year":"2010"},{"key":"10.1016\/j.bspc.2021.103067_b0145","volume":"Vol. 744","author":"Yang","year":"2017"},{"key":"10.1016\/j.bspc.2021.103067_b0150","series-title":"Applied nature-inspired computing: algorithms and case studies","author":"Dey","year":"2020"},{"key":"10.1016\/j.bspc.2021.103067_b0155","volume":"Vol. 15","author":"Payne","year":"2005"},{"key":"10.1016\/j.bspc.2021.103067_b0160","series-title":"Artificial Intelligence in Diffusion MRI","author":"Shehab","year":"2020"},{"key":"10.1016\/j.bspc.2021.103067_b0165","series-title":"Applications of Cuckoo Search Algorithm and its Variants","author":"Dey","year":"2020"},{"issue":"1","key":"10.1016\/j.bspc.2021.103067_b0170","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1007\/s00366-011-0241-y","article-title":"Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems","volume":"29","author":"Gandomi","year":"2013","journal-title":"Eng. Computers"},{"key":"10.1016\/j.bspc.2021.103067_b0175","volume":"Vol. 516","author":"Yang","year":"2013"},{"issue":"4","key":"10.1016\/j.bspc.2021.103067_b0180","doi-asserted-by":"crossref","first-page":"330","DOI":"10.1504\/IJMMNO.2010.035430","article-title":"Engineering optimisation by cuckoo search","volume":"1","author":"Yang","year":"2010","journal-title":"Int. J. Math. Modelling Numer. Optim."},{"issue":"5","key":"10.1016\/j.bspc.2021.103067_b0185","doi-asserted-by":"crossref","first-page":"4677","DOI":"10.1103\/PhysRevE.49.4677","article-title":"Fast, accurate algorithm for numerical simulation of levy stable stochastic processes","volume":"49","author":"Mantegna","year":"1994","journal-title":"Phys. Rev. E"},{"key":"10.1016\/j.bspc.2021.103067_b0190","series-title":"Engineering optimization: an introduction with metaheuristic applications","author":"Yang","year":"2010"},{"issue":"3","key":"10.1016\/j.bspc.2021.103067_b0195","doi-asserted-by":"crossref","first-page":"1247","DOI":"10.5194\/gmd-7-1247-2014","article-title":"Root mean square error (rmse) or mean absolute error (mae)?\u2013arguments against avoiding rmse in the literature","volume":"7","author":"Chai","year":"2014","journal-title":"Geoscientific Model Dev."},{"key":"10.1016\/j.bspc.2021.103067_b0200","series-title":"2008 19th International Conference on Systems Engineering","first-page":"521","article-title":"2d & 3d shepp-logan phantom standards for mri","author":"Gach","year":"2008"},{"issue":"6","key":"10.1016\/j.bspc.2021.103067_b0205","doi-asserted-by":"crossref","first-page":"20160323","DOI":"10.1259\/dmfr.20160323","article-title":"Evaluation of different low-dose multidetector ct and cone beam ct protocols in maxillary sinus imaging: part i\u2013an in vitro study","volume":"46","author":"Almashraqi","year":"2017","journal-title":"Dentomaxillofacial Radiology"},{"issue":"4","key":"10.1016\/j.bspc.2021.103067_b0210","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1109\/TIP.2003.819861","article-title":"Image quality assessment: from error visibility to structural similarity","volume":"13","author":"Wang","year":"2004","journal-title":"IEEE Trans. Image Process."},{"key":"10.1016\/j.bspc.2021.103067_b0215","series-title":"2009 IEEE International Conference on Automation and Logistics","first-page":"789","article-title":"Image quality assessment based on the correlation coefficient and the 2-d discrete wavelet transform","author":"Li","year":"2009"}],"container-title":["Biomedical Signal Processing and Control"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1746809421006649?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1746809421006649?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2023,4,15]],"date-time":"2023-04-15T19:24:45Z","timestamp":1681586685000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1746809421006649"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9]]},"references-count":43,"alternative-id":["S1746809421006649"],"URL":"https:\/\/doi.org\/10.1016\/j.bspc.2021.103067","relation":{},"ISSN":["1746-8094"],"issn-type":[{"value":"1746-8094","type":"print"}],"subject":[],"published":{"date-parts":[[2021,9]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Relaxation factor optimization based on cuckoo search algorithm for limited \u2013 Angle CT","name":"articletitle","label":"Article Title"},{"value":"Biomedical Signal Processing and Control","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.bspc.2021.103067","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2021 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"103067"}}